Proceedings of the First Artificial Intelligence Summit on Smart Sustainable Society [electronic resource] : AISSS 2023 / edited by Sohail S. Chaudhry, B. Surendiran, C. Vidya Raj.

Colaborador(es): Chaudhry, Sohail S [editor.] | Surendiran, B [editor.] | Raj, C. Vidya [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Electrical Engineering ; 1259Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XI, 252 p. 117 illus., 76 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819775927Tema(s): Computational intelligence | Artificial intelligence | Signal processing | Computational Intelligence | Artificial Intelligence | Signal, Speech and Image ProcessingFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto En: Springer Nature eBookResumen: The book includes proceedings of AI Summit 2023: Towards a Smart Sustainable Society which serve as a collaborative platform for diverse communities to address and resolve societal challenges using Artificial Intelligence. This book enables experts and researchers to evaluate the advantages of AI-driven technological transformations. It covers an extensive array of topics in artificial intelligence and machine learning, including deep learning, image processing, convolutional neural networks, advanced neural networks, sensors, Internet of Things (IoT), and genetic algorithms.
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The book includes proceedings of AI Summit 2023: Towards a Smart Sustainable Society which serve as a collaborative platform for diverse communities to address and resolve societal challenges using Artificial Intelligence. This book enables experts and researchers to evaluate the advantages of AI-driven technological transformations. It covers an extensive array of topics in artificial intelligence and machine learning, including deep learning, image processing, convolutional neural networks, advanced neural networks, sensors, Internet of Things (IoT), and genetic algorithms.

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